Bijay Neupane

409 total citations
19 papers, 241 citations indexed

About

Bijay Neupane is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Bijay Neupane has authored 19 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Bijay Neupane's work include Smart Grid Energy Management (9 papers), Energy Load and Power Forecasting (5 papers) and Electric Vehicles and Infrastructure (4 papers). Bijay Neupane is often cited by papers focused on Smart Grid Energy Management (9 papers), Energy Load and Power Forecasting (5 papers) and Electric Vehicles and Infrastructure (4 papers). Bijay Neupane collaborates with scholars based in Denmark, United States and Nepal. Bijay Neupane's co-authors include Torben Bach Pedersen, Zeyar Aung, Wei Lee Woon, Laurynas Šikšnys, Bo Thiesson, Dhaval Patel, David Lo, Daniel Berrar, Ee‐Peng Lim and Mustafa Amir Faisal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Machine Learning Research and Energies.

In The Last Decade

Bijay Neupane

17 papers receiving 230 citations

Peers

Bijay Neupane

EEE

MSOR

RESE

Dohyun Kim South Korea

Tehreem Ashfaq Pakistan

Maryam Saleem Pakistan

Yong‐Tae Yoon South Korea

G. Manikandan India

Robert Mieth United States

Vincenzo Croce Italy

Tanuja Ganu India

Mohammed Alsaqer Saudi Arabia

Upasana Dohare India

Dohyun Kim South Korea

Bijay Neupane

58 ×0.4

EEE

44 ×0.9

93 ×2.2

20 ×0.7

MSOR

18 ×0.8

RESE

Citations per year, relative to Bijay Neupane Bijay Neupane (= 1×) peers Dohyun Kim

Countries citing papers authored by Bijay Neupane

Since Specialization

Citations

This map shows the geographic impact of Bijay Neupane's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bijay Neupane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bijay Neupane more than expected).

Fields of papers citing papers by Bijay Neupane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bijay Neupane. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bijay Neupane. The network helps show where Bijay Neupane may publish in the future.

Co-authorship network of co-authors of Bijay Neupane

This figure shows the co-authorship network connecting the top 25 collaborators of Bijay Neupane. A scholar is included among the top collaborators of Bijay Neupane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bijay Neupane. Bijay Neupane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Neupane, Bijay, et al.. (2025). Machine learning algorithms for supporting life cycle assessment studies: An analytical review. Sustainable Production and Consumption. 56. 37–53. 10 indexed citations

Neupane, Bijay, Ryan Hanson, Bradley H. Crotty, et al.. (2025). Applying Large Language Models for Surgical Case Length Prediction. JAMA Surgery. 160(8). 894–894.

Neupane, Bijay, Ryan Hanson, Kenneth Brown, et al.. (2024). Development and validation of an artificial intelligence system for surgical case length prediction. Surgery. 179. 108942–108942.

Pedersen, Torben Bach, et al.. (2023). Uncertain FlexOffers: a scalable, uncertainty-aware model for energy flexibility. VBN Forskningsportal (Aalborg Universitet). 30–41. 2 indexed citations

LeBaron, Virginia, Bethany J. Horton, Martha A. Maurer, et al.. (2022). A Global Collaboration to Develop and Pilot Test a Mobile Application to Improve Cancer Pain Management in Nepal. SHILAP Revista de lepidopterología. 3. 910995–910995. 5 indexed citations

Pedersen, Torben Bach, et al.. (2022). Uncertain flexoffers, a scalable, uncertainty-aware model for energy flexibility. VBN Forskningsportal (Aalborg Universitet). 448–449. 5 indexed citations

Neupane, Bijay, et al.. (2022). GOFLEX. VBN Forskningsportal (Aalborg Universitet). 361–373. 12 indexed citations

LeBaron, Virginia, Martha A. Maurer, Daniel Munday, et al.. (2021). A survey of cancer care institutions in Nepal to inform design of a pain management mobile application. BMC Palliative Care. 20(1). 171–171. 9 indexed citations

Šikšnys, Laurynas, et al.. (2019). Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems. VBN Forskningsportal (Aalborg Universitet). 170–180. 17 indexed citations

10.

Pedersen, Torben Bach, Laurynas Šikšnys, & Bijay Neupane. (2018). Modeling and Managing Energy Flexibility Using FlexOffers. VBN Forskningsportal (Aalborg Universitet). 1–7. 23 indexed citations

11.

Neupane, Bijay, Torben Bach Pedersen, & Bo Thiesson. (2018). Utilizing Device-level Demand Forecasting for Flexibility Markets. VBN Forskningsportal (Aalborg Universitet). 108–118. 9 indexed citations

12.

Neupane, Bijay. (2017). Predictive Data Analytics for Energy Demand Flexibility. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations

13.

Neupane, Bijay, Laurynas Šikšnys, & Torben Bach Pedersen. (2017). Generation and Evaluation of Flex-Offers from Flexible Electrical Devices. VBN Forskningsportal (Aalborg Universitet). 143–156. 23 indexed citations

14.

Neupane, Bijay, Wei Lee Woon, & Zeyar Aung. (2017). Ensemble Prediction Model with Expert Selection for Electricity Price Forecasting. Energies. 10(1). 77–77. 29 indexed citations

15.

Neupane, Bijay, Wei Lee Woon, & Zeyar Aung. (2016). Ensemble Prediction Model with Expert Selection for Electricity Price Forecasting. Preprints.org. 3 indexed citations

16.

Neupane, Bijay, Torben Bach Pedersen, & Bo Thiesson. (2015). Evaluating the Value of Flexibility in Energy Regulation Markets. VBN Forskningsportal (Aalborg Universitet). 131–140. 11 indexed citations

17.

Oentaryo, Richard J., Ee‐Peng Lim, David Lo, et al.. (2014). Detecting click fraud in online advertising: a data mining approach. Journal of Machine Learning Research. 15(1). 99–140. 45 indexed citations

18.

Neupane, Bijay, Zeyar Aung, & Wei Lee Woon. (2012). A New Image Edge Detection Method using Quality-based Clustering. 8 indexed citations

19.

Neupane, Bijay, et al.. (2012). Artificial Neural Network-based electricity price forecasting for smart grid deployment. 1–6. 29 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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